Publications by authors named "Eva Sigl"

Wound infection is traditionally defined primarily by visual clinical signs, and secondarily by microbiological analysis of wound samples. However, these approaches have serious limitations in determining wound infection status, particularly in early phases or complex, chronic, hard-to-heal wounds. Early or predictive patient-derived biomarkers of wound infection would enable more timely and appropriate intervention.

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Negative-pressure-wound-therapy is commonly used in clinical routine for wound management. Aim of the present study was to assess the feasibility and safety of using an additional container to collect wound fluid during ongoing negative-pressure-wound-therapy. In this present prospective observational study, patients with negative-pressure-wound-therapy were included.

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Article Synopsis
  • Synovial sepsis is a serious orthopedic emergency in horses where diagnosis often relies on ambiguous fluid analysis, leading to a need for better detection methods.
  • This study evaluated the effectiveness of lysozyme (LYS), myeloperoxidase (MPO), and elastase (ELT) as biomarkers for identifying synovial sepsis through enzyme activity measurements.
  • Results showed that LYS and MPO were significantly effective in distinguishing septic samples from aseptic and healthy ones, achieving high sensitivity and specificity, while ELT was not measurable, indicating that LYS and MPO could enhance diagnostic reliability in clinical settings.
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There is a strong need for simple and fast diagnostic tools for the detection of wound infection. Immune system-derived enzymes like myeloperoxidase are efficient biomarkers for wound infection that emerge in the early stage infection process. In this study, 5-amino-2-methoxyphenol was functionalized with alkoxysilane to allow visual detection of MPO on carrier materials, for example, in test strips.

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There is a strong need for simple and fast methods for wound infection determination. Myeloperoxidase, an immune system-derived enzyme was found to be a suitable biomarker for wound infection. Hence, alkoxysilane-derivatized Fast Blue RR was immobilized via simple hydrolytic polymerization.

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There is a pressing need for point-of-care diagnostics indicating early stages of infection. Polymers can respond to enzymes secreted by microorganisms or released by the human immune system. This provokes either a direct color reaction or release of dyes, allowing early-stage detection of wound infections and contamination of medical devices.

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Wound infection is a severe complication causing delayed healing and risks for patients. Conventional methods of diagnosis for infection involve error-prone clinical description of the wound and time-consuming microbiological tests. More reliable alternatives are still rare, except for invasive and unaffordable gold standard methods.

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In clinical practice, diagnosis of wound infection is based on the classical clinical signs of infection. When infection is suspected, wounds are often swabbed for microbiological culturing. These methods are not accurate (clinical judgment in chronic wounds) or provide results after several days (wound swab).

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Bacterial contamination of platelet concentrates (PCs) can lead to fatal transfusion transmitted diseases and is the most abundant infectious risk in transfusion medicine. The storage conditions of PCs provide a good environment for bacterial growth. The detection of these contaminations at an early stage is therefore important to avoid the transfusion of contaminated samples.

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A gelatinase-based device for fast detection of wound infection was developed. Collective gelatinolytic activity in infected wounds was 23 times higher (p ≤ 0.001) than in noninfected wounds and blisters according to the clinical and microbiological description of the wounds.

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Bioresponsive polymers (BRPs) allow the detection of potentially pathogenic microorganisms. Here, peptidoglycan and cellulose based hydrogels were constructed with potential for diagnosis of wound infection or, for example, Aspergillosis, respectively. These systems respond to extracellular enzymes from microbes or enzymes secreted from the human immune system in case of infection.

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